Timo Dickscheid

According to our database, Timo Dickscheid authored at least 29 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding.

Alexander Oberstraß, Jordan DeKraker, Nicola Palomero-Gallagher, Sascha E. A. Muenzing, Alan C. Evans, Markus Axer, Katrin Amunts, Timo Dickscheid

CoRR, 2024

Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI.

Alexander Oberstraß, Sascha E. A. Muenzing, Meiqi Niu, Nicola Palomero-Gallagher, Christian Schiffer, Markus Axer, Katrin Amunts, Timo Dickscheid

CoRR, 2024

2023

Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain.

Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts, Timo Dickscheid

CoRR, 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.

Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang

CoRR, 2023

2022

Brain simulation as a cloud service: The Virtual Brain on EBRAINS.

Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Prodan, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Michael Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Gustavo Deco, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid, Jan G. Bjaalie, Katrin Amunts, Jochen Mersmann, Viktor K. Jirsa, Petra Ritter

NeuroImage, 2022

Cytoarchitecture, probability maps and segregation of the human insula.

Julian Quabs, Svenja Caspers, Claudia Schöne, Hartmut Mohlberg, Sebastian Bludau, Timo Dickscheid, Katrin Amunts

NeuroImage, 2022

Contour proposal networks for biomedical instance segmentation.

Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid

Medical Image Anal., 2022

Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy Images.

Eric Upschulte, Stefan Harmeling, Katrin Amunts, Timo Dickscheid

Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, 2022

GORDA: Graph-Based Orientation Distribution Analysis of SLI Scatterometry Patterns of Nerve Fibres.

Esteban Vaca, Miriam Menzel, Katrin Amunts, Markus Axer, Timo Dickscheid

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Convolutional neural networks for cytoarchitectonic brain mapping at large scale.

Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid

NeuroImage, 2021

Brain Modelling as a Service: The Virtual Brain on EBRAINS.

Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Popa, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag, Sandra Diaz-Pier, Alexander Peyser, Wouter Klijn, Dirk Pleiter, Anne Nahm, Oliver Schmid, Michael Marmaduke Woodman, Lyuba Zehl, Jan Fousek, Spase Petkoski, Lionel Kusch, Meysam Hashemi, Daniele Marinazzo, Jean-François Mangin, Agnes Flöel, Simisola Akintoye, Bernd Carsten Stahl, Michael Cepic, Emily Johnson, Anthony R. McIntosh, Claus C. Hilgetag, Marc Morgan, Bernd Schuller, Alex Upton, Colin McMurtrie, Timo Dickscheid, Jan G. Bjaalie, Katrin Amunts, Jochen Mersmann, Viktor K. Jirsa, Petra Ritter

CoRR, 2021

2D Histology Meets 3D Topology: Cytoarchitectonic Brain Mapping with Graph Neural Networks.

Christian Schiffer, Stefan Harmeling, Katrin Amunts, Timo Dickscheid

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Contrastive Representation Learning For Whole Brain Cytoarchitectonic Mapping In Histological Human Brain Sections.

Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

IO Challenges for Human Brain Atlasing Using Deep Learning Methods - An In-Depth Analysis.

Lena Oden, Christian Schiffer, Hannah Spitzer, Timo Dickscheid, Dirk Pleiter

Proceedings of the 27th Euromicro International Conference on Parallel, 2019

Deep Learning-Supported Cytoarchitectonic Mapping of the Human Lateral Geniculate Body in the BigBrain.

Andrea Brandstetter, Najoua Bolakhrif, Christian Schiffer, Timo Dickscheid, Hartmut Mohlberg, Katrin Amunts

Proceedings of the Brain-Inspired Computing - 4th International Workshop, 2019

A High-Resolution Model of the Human Entorhinal Cortex in the 'BigBrain' - Use Case for Machine Learning and 3D Analyses.

Sabrina Behuet, Sebastian Bludau, Olga Kedo, Christian Schiffer, Timo Dickscheid, Andrea Brandstetter, Philippe Massicotte, Mona Omidyeganeh, Alan C. Evans, Katrin Amunts

Proceedings of the Brain-Inspired Computing - 4th International Workshop, 2019

2018

Improving Cytoarchitectonic Segmentation of Human Brain Areas with Self-supervised Siamese Networks.

Hannah Spitzer, Kai Kiwitz, Katrin Amunts, Stefan Harmeling, Timo Dickscheid

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Parcellation of visual cortex on high-resolution histological brain sections using convolutional neural networks.

Hannah Spitzer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Spatial normalization of brain images and beyond.

Jean-François Mangin, Jessica Lebenberg, Sandrine Lefranc, Nicole Labra, Guillaume Auzias, M. Labit, Miguel Guevara, Hartmut Mohlberg, Pauline Roca, Pamela Guevara, Jessica Dubois, François Leroy, Ghislaine Dehaene-Lambertz, Arnaud Cachia, Timo Dickscheid, Olivier Coulon, Cyril Poupon, Denis Rivière, Katrin Amunts, Zhong Yi Sun

Medical Image Anal., 2016

Morphing Image Masks for Stacked Histological Sections Using Laplace's Equation.

Martin Schober, Markus Axer, Marcel Huysegoms, Nicole Schubert, Katrin Amunts, Timo Dickscheid

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2012

Automatic identification of gray and white matter components in polarized light imaging.

Jürgen Dammers, Lukas Breuer, Markus Axer, Melanie Kleiner, Björn Eiben, David Gräßel, Timo Dickscheid, Karl Zilles, Katrin Amunts, Nadim Joni Shah, Uwe Pietrzyk

NeuroImage, 2012

Classification of Ambiguous Nerve Fiber Orientations in 3D Polarized Light Imaging.

Melanie Kleiner, Markus Axer, David Gräßel, Julia Reckfort, Uwe Pietrzyk, Katrin Amunts, Timo Dickscheid

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes.

Timo Dickscheid

PhD thesis, 2011

Coding Images with Local Features.

Timo Dickscheid, Falko Schindler, Wolfgang Förstner

Int. J. Comput. Vis., 2011

High-Resolution Fiber Tract Reconstruction in the Human Brain by Means of Three-Dimensional Polarized Light Imaging.

Markus Axer, David Gräßel, Melanie Kleiner, Jürgen Dammers, Timo Dickscheid, Julia Reckfort, Tim Hütz, Björn Eiben, Uwe Pietrzyk, Karl Zilles, Katrin Amunts

Frontiers Neuroinformatics, 2011

2009

Evaluating the Suitability of Feature Detectors for Automatic Image Orientation Systems.

Timo Dickscheid, Wolfgang Förstner

Proceedings of the Computer Vision Systems, 2009

Detecting interpretable and accurate scale-invariant keypoints.

Wolfgang Förstner, Timo Dickscheid, Falko Schindler

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

On the Completeness of Coding with Image Features.

Wolfgang Förstner, Timo Dickscheid, Falko Schindler

Proceedings of the British Machine Vision Conference, 2009

2005

Design of AN IMage AnaLysis System.

Dietrich Paulus, Timo Dickscheid, K.-D. Berg

Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005